A dedicated academician, researcher, and IT professional with over 20 years of teaching experience in higher education and 5 years of industrial experience as an ETL Developer in the information technology sector. Possesses extensive expertise in Computer Science and Engineering, Data Engineering, Artificial Intelligence, Machine Learning, Data Warehousing, Big Data Analytics, and Software Development. Demonstrated excellence in teaching undergraduate and postgraduate courses, mentoring student projects, curriculum development, academic administration, and research supervision. Worked extensively on modern technologies including Python, Deep Learning, Data Mining, Cloud Computing, ETL/ELT pipelines, Data Warehousing, and AI-driven intelligent systems. Industrial experience includes designing and developing ETL workflows, database integration solutions, data transformation pipelines, and enterprise reporting systems using industry-standard tools and methodologies. Actively involved in research activities as a Research Scholar with focus areas including Artificial Intelligence, Computer Vision, Geospatial Intelligence Systems, Deep Learning, Multimodal Learning, Cyber Security, and Data Analytics. Published research papers in reputed journals and conferences, and continuously contributes to innovative research in emerging technologies. Skilled in integrating academic knowledge with real-world industrial practices to deliver practical and research-oriented learning experiences. Possesses strong analytical, technical, mentoring, and leadership abilities with commitment toward academic excellence, collaborative research, innovation, and professional development. Interested in interdisciplinary research, industry-academia collaboration, AI-based intelligent applications, and development of scalable data-driven systems for real-world problem solving.